Title	Numerical integration within the Hamiltonian (Hybrid) Monte Carlo method
Creator	Sanz-Serna, Jesús María
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2018-11-12T09:10
Description	The Hamiltonian or Hybrid Monte Carlo (HMC) method is a valuable sampling algorithm used in both molecular dynamics and statistics. Its efficiency very much depends on the numerical integration of the dynamics employed to define the proposal, with Verlet/leapfrog being the algorithm of choice. In the talk I will discuss how different properties of the integrator impact the efficiency of HMC and how to construct novel integrators that significantly improve on Verlet. I will also comment on adaptive integration strategies recently incorporated to some well-known molecular dynamics packages.
Extent	36.0
Subject	Mathematics; Statistics; Statistical mechanics, structure of matter; Statistical mechanics
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Universidad Carlos III de Madrid
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2019-05-12
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0378699
URI	http://hdl.handle.net/2429/70143
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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